![]() Use the following syntax to merge dataset first and second: The merging datasets must have at least one common variable.Īs you can see above, the ID is a common variable among both datasets.Use MERGE statement before the name of the dataset.We use the By statement to denote the name of a common variable which is used for matching prerequisites to merge.Use the following steps to merge datasets: The base of merging is, the merging datasets must have a common variable with common data values (or observations) inside them. Merge in SAS is a process which combines observations from two or more SAS datasets. You will find many examples, for great understanding. Now, we are going to learn how we can merge data sets in SAS Programming language. In the last topic, we have learned multiple variables sorting in SAS, and saw that we could sort data values on the basis of multiple variables simultaneously. Upon execution of the above SAS program with the above changed part, we get the following output.Next → ← prev SAS - Merge Dataset Joining | Combining ![]() In the below example, the IN= value keeps only the observations where the values from both the data sets SALARY and DEPT match. The merge statement of the SAS program needs to be changed. To avoid the missing values in the result we can consider keeping only the observations with matched values for the common variable. When the above code is applied, we get the below result. ExampleĬonsider the case of employee ID 3 missing from the dataset salary and employee ID 6 missing form data set DEPT. In such cases the data sets still get merged but give missing values in the result. There may be cases when some values of the common variable will not match between the data sets. Please note that the observations in both the datasets are already sorted in ID column. The above result is achieved by using the following code in which the common variable (ID) is used in the BY statement. The final data set will still have one observation per employee but it will contain both the salary and department variables. In this case to get the complete information for each employee we can merge these two data sets. ExampleĬonsider two SAS data sets one containing the employee ID with name and salary and another containing employee ID with employee ID and department. Let us understand data merging with the help of an example. The basic syntax for MERGE and BY statement in SAS is −įollowing is the description of the parameters used −ĭata-set1,Data-set2 are data set names written one after another.Ĭommon Variable is the variable based on whose matching values the data sets will be merged. input data sets must be sorted by the common variable(s) that will be used to merge on.input data sets must have at least one common variable to merge on.There are two Prerequisites for merging data sets given below − It is because the variables form both data sets get merged as one record based when there is a match in the value of the common variable. ![]() The total number of observations in the merged data set is often less than the sum of the number of observations in the original data sets. This is done using the MERGE statement and BY statement. Multiple SAS data sets can be merged based on a specific common variable to give a single data set.
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